Learning robust cortico-cortical associations with the basal ganglia: an integrative review
This article focuses on the interaction between the basal ganglia (BG) and prefrontal cortex
(PFC). The BG are a group of nuclei at the base of the forebrain that are highly connected …
(PFC). The BG are a group of nuclei at the base of the forebrain that are highly connected …
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models
Many computational models of the basal ganglia (BG) have been proposed over the past
twenty-five years. While computational neuroscience models have focused on closely …
twenty-five years. While computational neuroscience models have focused on closely …
[图书][B] Introduction to neural and cognitive modeling
DS Levine - 2000 - taylorfrancis.com
This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …
principles and the details of neural network modeling accessible to cognitive scientists of all …
Intelligence explosion: Evidence and import
L Muehlhauser, A Salamon - Singularity hypotheses: A scientific and …, 2013 - Springer
In this chapter we review the evidence for and against three claims: that (1) there is a
substantial chance we will create human-level AI before 2100, that (2) if human-level AI is …
substantial chance we will create human-level AI before 2100, that (2) if human-level AI is …
Free energy: a user's guide
SF Mann, R Pain, MD Kirchhoff - Biology & Philosophy, 2022 - Springer
Over the last fifteen years, an ambitious explanatory framework has been proposed to unify
explanations across biology and cognitive science. Active inference, whose most famous …
explanations across biology and cognitive science. Active inference, whose most famous …
Model-based cognitive neuroscience: A conceptual introduction
BU Forstmann, EJ Wagenmakers - An introduction to model-based …, 2015 - Springer
This tutorial chapter shows how the separate fields of mathematical psychology and
cognitive neuroscience can interact to their mutual benefit. Historically, the field of …
cognitive neuroscience can interact to their mutual benefit. Historically, the field of …
The temporal dynamics of reversal learning: P3 amplitude predicts valence-specific behavioral adjustment
Adapting behavior to dynamic stimulus-reward contingences is a core feature of reversal
learning and a capacity thought to be critical to socio-emotional behavior. Impairment in …
learning and a capacity thought to be critical to socio-emotional behavior. Impairment in …
Multiple stages of learning in perceptual categorization: Evidence and neurocomputational theory
Virtually all current theories of category learning assume that humans learn new categories
by gradually forming associations directly between stimuli and responses. In information …
by gradually forming associations directly between stimuli and responses. In information …
An alternative evaluation of post traumatic stress disorder with machine learning methods
In the world we live in, people from different professions are at increased risk for depressive
symptoms and posttraumatic stress disorder (PTSD) due to hard working or extreme …
symptoms and posttraumatic stress disorder (PTSD) due to hard working or extreme …
Towards neuro-inspired symbolic models of cognition: linking neural dynamics to behaviors through asynchronous communications
P Bonzon - Cognitive neurodynamics, 2017 - Springer
A computational architecture modeling the relation between perception and action is
proposed. Basic brain processes representing synaptic plasticity are first abstracted through …
proposed. Basic brain processes representing synaptic plasticity are first abstracted through …